PaperHub

Tatsunori Hashimoto

~Tatsunori_Hashimoto1

26
论文总数
13.0
年均投稿
6.3
平均评分
接收情况21/26
会议分布
ICLR
17
ICML
4
NeurIPS
3
COLM
2

发表论文 (26 篇)

202512 篇

6.1
4

Online Conformal Prediction via Online Optimization

ICML 2025Poster
6.0
5

Improving Pretraining Data Using Perplexity Correlations

ICLR 2025Poster
5.8
4

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

ICLR 2025Poster
7.8
3

Eliciting Language Model Behaviors with Investigator Agents

ICML 2025Poster
6.0
4

Locality Alignment Improves Vision-Language Models

ICLR 2025Poster
8.0
4

Synthetic continued pretraining

ICLR 2025Oral
6.1
4

Auditing Prompt Caching in Language Model APIs

ICML 2025Poster
4.7
6

Improving the Efficiency of Test-Time Search in LLMs with Backtracking

ICLR 2025Rejected
6.3
4

AutoBencher: Towards Declarative Benchmark Construction

ICLR 2025Poster
6.3
4

LongCodeBench: Evaluating Coding LLMs at 1M Context Windows

COLM 2025Poster
6.0
4

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

ICLR 2025Rejected
7.8
4

Learning to (Learn at Test Time): RNNs with Expressive Hidden States

ICML 2025Spotlight

202414 篇

4.8
4

Scaling up Trustless DNN Inference with Zero-Knowledge Proofs

ICLR 2024Rejected
6.0
4

One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention

ICLR 2024Poster
6.8
5

Observational Scaling Laws and the Predictability of Langauge Model Performance

NeurIPS 2024Spotlight
6.5
4

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing

ICLR 2024Poster
7.0
4

Length-Controlled AlpacaEval: A Simple Debiasing of Automatic Evaluators

COLM 2024Poster
6.7
3

Benchmarking and Improving Generator-Validator Consistency of Language Models

ICLR 2024Poster
6.7
3

Trustless Audits without Revealing Data or Models

ICLR 2024Rejected
5.8
4

On the Learnability of Watermarks for Language Models

ICLR 2024Poster
6.0
4

Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution

NeurIPS 2024Poster
5.7
3

Graph-based Uncertainty Metrics for Long-form Language Model Generations

NeurIPS 2024Spotlight
7.5
4

Proving Test Set Contamination in Black-Box Language Models

ICLR 2024Oral
6.0
4

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

ICLR 2024Poster
3.8
4

Learning to (Learn at Test Time)

ICLR 2024withdrawn
7.3
3

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

ICLR 2024Spotlight
合作者 (20)